function [A_t,Z_t,T]=initial_para(X, B_t, anchornum)
%% 赋予初始化参数，单位矩阵，PCA降维得到的特征矩阵
samplenum = size(X,1);
A_t = eye(samplenum);
pcaM = B_t';
X_pca = X * pcaM;
[Z_t,T] = decompose(X_pca,samplenum,anchornum);
% 
% [Z_t,T_t] = decompose(Xi*B_t,samplenum,anchornum);
% n = size(X,1);
% di = size(X,2);

% 
% P_t = eye(anchornum);


% 重建误差的大小取决于降维后的特征数量 featurenum。featurenum 越小，重建误差越大。



